Contact Information |
Instructor: | James Riely |
Home Page: | https://fpl.cs.depaul.edu/jriely |
Email: | jriely@cs.depaul.edu |
Phone: | 1.312.362.5251 |
Address: | School of Computing, DePaul University |
243 South Wabash Avenue | |
Chicago, IL 60604-2301 | |
Office: | CDM 845 |
Class Page: | https://fpl.cs.depaul.edu/jriely/ds1/ |
Class Hours: | Tue/Thu 10:10am-11:40am in ONLINE |
Course Homepage for Lectures |
Course homepage: https://fpl.cs.depaul.edu/jriely/ds1/
Mailing List |
We will use zoom for live discussion during class hours. To join a meeting, use the link listed on the D2L calendar of events.
We will use discord as a discussion forum for class.
The discussion forum is an extension our time in class. This is particularly great for students that miss the live lecture. If you are watching the class online, you should write down any questions that arise, including the time from the recording for reference. Then send the list of questions to me, and I will post a reply to the group.
Overview |
This is the first course in a two-course sequence on data structures using Java. The course introduces basic Java programming, reviews recursion, introduces asymptotic notations, and focuses mainly on linear data structures including arrays, linked lists and their variants, stacks and queues, and data structures supporting disjoint-set operations. The implementation of the basic operations on each data structure are discussed and analyzed in terms of their efficiency. The applications covered highlight and exploit the unique characteristics of the data structures, and emphasize problem solving and recursive thinking.
Objectives |
Programs are not just for computers: We use them to communicate to other people.
Plus
resizable arrays
A data structure is a concrete implementation of an abstract type
listtype in python
Lecture Plan |
The following lecture plan is tentative and subject to change as the course progresses.
Lecture slides will be available after each lecture. They will not normally be available before the lecture.
Prerequisites |
A prior programming class.
Textbooks |
If you are delayed in getting the texts, you can view them online at O'Reilly.
Required Books
Core Java SE 9 for the Impatient, 2nd Edition [Amazon, Indiebound]
by Cay Horstmann (Addison-Wesley, 2017)
Available as Ebook
Older edition is fine.
Algorithms 4e [Amazon, Indiebound]
by Robert Sedgewick and Kevin Wayne (Addison-Wesley, 2011)
Available as Ebook
(Author videos) These are also for sale as an Ebook
Do not get an older edition. They are completely different books.
Recommended Books
Schaum's Outline of Data Structures with Java 2e [Amazon, Indiebound]
by John Hubbard (Schuams, 2009)
This book is a good source of example problems with solutions.
Available as Ebook
More Books
How to Think Like a Computer Scientist
by Allen B. Downey.
Free!
An good introduction to Java.
Skip the GridWorld chapters, which are intended to help with the AP exam in CS.
See also these lecture notes from MIT. The first three lectures are particularly useful.
by Brad Miller.
Free!
See also here.
Introduction to Programming in Java (Chapter 1)
by Robert Sedgewick and Kevin Wayne
Free!
This is the first chapter of the introductory text written by the authors of our primary textbook.
It presents the same material as section 1.1 of the primary text, but at a slower pace.
Effective Java 3e [Amazon, Indiebound]
by Joshua Bloch (Addison-Wesley, 2008)
Available as Ebook
The algorithms text describes all of the Java that is required for the class. The discussion is terse, making it an excellent reference. If you would like a longer discussion of Java, you might want a supplementary text. In this case, you might consider one of the following.
Expectations |
We will discuss concepts in class.
You will have weekly programming assignments.
Getting the homework correct is not enough. More Later.
Attendance |
You must attend class!
Incomplete Grades
An incomplete grade is defined in the Student Handbook as follows (note that the policy in the undergraduate student handbook applies to both undergraduate and graduate students): A temporary grade indicating that the student has a satisfactory record in work completed, but for unusual or unforeseeable circumstances not encountered by other students in the class and acceptable to the instructor is prevented from completing the course requirements by the end of the term. Please see https://www.cdm.depaul.edu/Current%20Students/Pages/Grading-Policies.aspx for additional information.
Retro-Active Withdrawal
CDM understands certain extenuating circumstances can hinder one's ability for academic success and completion of course work. Please see https://www.cdm.depaul.edu/Current%20Students/Pages/Enrollment-Policies.aspx for additional information.
Absence Notifications
In order to petition for an excused absence, students who miss class due to illness or significant personal circumstances should complete the Absence Notification process through the Dean of Students office. The form can be accessed at https://studentaffairs.depaul.edu/dos/forms.html. Students must submit supporting documentation alongside the form. The professor reserves the sole right whether to offer an excused absence and/or academic accommodations for an excused absence.
Assessment |
Grades will be determined as follows.
Programming assignments that do not compile will receive zero points.
Exams will be given on paper, in person. There are no online exams. You must appear physically in front of a proctor (either teh instructor or someone else, as described in the policy linked below.)
You must pass the final exam in order to pass the course.
DePaul's academic integrity policy
All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.
On exams, you must work alone, without any external resources.
It is your responsibility to ensure that you can complete any given homework or quiz question in about five minute, working alone, without using external sources.
To solve the weekly homeworks and quizzes, you may find it useful to consult external resources at first. That's fine. However, it is then incumbent on you to repeat those problems until you can do them yourself, starting from scratch, in a reasonable amount of time (about five minutes).